Price index forecasting is one of the most important problems in financial markets. In the past
decades the prediction of stock index has played a vital role in the financial situation of …

Forecasting stock exchange rates is an important financial problem that is receiving
increasing attention. During the last few years, a number of neural network models and …

The paper combines genetic algorithms (GA) with neural network (NN). It trains NN with GA
and then predicts the stock price index with the trained network. By learning the special …

Prediction of stock market indices is an interesting and challenging research problem in
financial data mining area because movement of stock indices are nonlinear and they are …

In this paper, computational data mining methodology was used to predict four major stock
market indexes. Two learning algorithms including Linear Regression and Neural Network …

Stock market is a very challenging and an interesting field. In this paper, we are trying to
predict the target prices of the stocks for the short term. We are predicting the target priceof …

In the proposed work, we presented an Artificial Neural Network approach to predict the
stock market indices. We outlined the design of the Neural Network model with its salient …

The present paper introduces the particle swarm optimization (PSO) technique to develop
an efficient forecasting model for prediction of various stock indices. The connecting weights …

Stock index forecast is not an easy job as it is subject to influence of various factors. Since
1980s, many researchers have used Back Propagation Neural Network BPNN to forecast …

Prediction of stock price index movement is regarded as a challenging task of financial time
series prediction. An accurate prediction of stock price movement may yield profits for …